Image processing may enhance condition assessment of bridge defects. In this perspective, we propose robotics and computer-aided procedure, which enables quantitative evaluation of defect extension with a specific storage organization, and performed by unmanned aerial vehicle (UAV). The methodology for defect evaluation uses color-based image processing. Data contained in digital images are taken on pre-classified structural elements. A campaign of UAV-based inspections has been performed to evidence the potentiality of the proposed procedure. Recurrent defects, occurring in infrastructure belonging to the Italian National railway system, allow evidencing the main features of the developed image-processing algorithm. The proposed process of damage detection and quantification is discussed with respect to both the level of automation that can be reached in each phase and the robustness of the used image processing adopted procedure.

中文翻译：

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桥梁检查中的缺陷评估机器人和计算机辅助程序

图像处理可以增强桥梁缺陷的状态评估。从这个角度出发，我们提出了机器人技术和计算机辅助程序，该程序可以通过特定的存储组织对缺陷扩展进行定量评估，并由无人飞行器（UAV）执行。缺陷评估的方法使用基于颜色的图像处理。数字图像中包含的数据是在预先分类的结构元素上获取的。已经开展了基于无人机的检查运动，以证明拟议程序的潜力。在属于意大利国家铁路系统的基础设施中发生的经常性缺陷，可以证明所开发图像处理算法的主要特征。